Browsing by Author "Connors, Miranda"

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    The Theory of Planned Behavior and E-cig Use: Impulsive Personality, E-cig Attitudes, and E-cig Use
    (Springer, 2017) Hershberger, Alexandra; Connors, Miranda; Um, Miji; Cyders, Melissa A.; Psychology, School of Science
    The current paper applied the theory of planned behavior (TPB; Ajzen and Fishbein 1988) to understand how impulsive personality traits and attitudes concerning e-cig use relate to the likelihood of electronic cigarette (e-cig) use. Seven hundred fourteen participants (mean age = 34.04, SD = 10.89, 48.6% female) completed cross-sectional measures of e-cig use attitudes (CEAC) and the Short UPPS-P Impulsive Behavior Scale. A structural path analysis suggested that urgency and deficits in conscientiousness were significantly related to e-cig attitudes (CFI = 0.99, TLI = 0.99, RMSEA = 0.02; urgency: β = 0.32, p = .001; deficits in conscientiousness: β = −0.48, p < .001). E-cig attitude scores were significantly higher for e-cig users than non-users, β = 0.85, p < .001. There was no significant direct path from impulsive personality traits to e-cig use. Findings provide initial support for a model in which impulsive traits are related to e-cig use through positive e-cig attitudes.
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    The Theory of Planned Behavior and E-cig Use: Impulsive Personality, E-cig Attitudes, and E-cig Use
    (Springer Nature, 2018-04) Hershberger, Alexandra; Connors, Miranda; Um, Miji; Cyders, Melissa A.; Psychology, School of Science
    The current paper applied the Theory of Planned Behavior (TPB; Ajzen & Fishbein, 1988) to understand how impulsive personality traits and attitudes concerning e-cig use relate to the likelihood of electronic cigarette (e-cig) use. Seven hundred and fourteen participants (Mean age = 34.04, SD = 10.89, 48.6% female) completed cross-sectional measures of e-cig use attitudes (CEAC) and the Short UPPS-P Impulsive Behavior Scale. A structural path analysis suggested that urgency and deficits in conscientiousness were significantly related to e-cig attitudes (CFI = 0.99, TLI = 0.99, RMSEA = 0.02; urgency: β = 0.32, p = .001; deficits in conscientiousness: β = -0.48, p < .001). E-cig attitude scores were significantly higher for e-cig users than non-users, β = 0.85, p < .001. There was no significant direct path from impulsive personality traits to e-cig use. Findings provide initial support for a model in which impulsive traits are related to e-cig use through positive e-cig attitudes.
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    The Theory of Planned Behavior and E-cig Use: Sensation Seeking, E-cig Attitudes and E-cig Use
    (Office of the Vice Chancellor for Research, 2016-04-08) Connors, Miranda; Hershberger, Alexandra; Um, Miji; Cyders, Melissa A.
    E-cig use is growing in popularity in the United States, but the underlying risk factors for e-cig use are not well understood. Positive attitudes towards e-cigs play an important role in e-cig use and such attitudes are related to current e-cig use, intent to use, and actual future use of e-cigs. Using a Theory of Planned Behavior framework (Ajzen & Fishbein, 1988), the present study investigated how attitudes towards e-cig use and impulsive personality traits (negative urgency, positive urgency, lack of perseverance, lack of premeditation, sensation seeking) are related to the likelihood of e-cig use. Five hundred and forty-five participants (Mean age = 34.11, SD = 10.96, 48.6% female, 86.2% Caucasian) completed the Comparing E-Cigarettes and Cigarettes questionnaire (CEAC; attitude measure), the Short UPPS-P Impulsive Behavior Scale, and an ecig use measure. E-cig users were significantly higher in negative urgency, F(3,542)=3.88, p=.005, and positive urgency, F(3,542) = 2.80, p=.003, traits that represent the tendency to act impulsively in extreme negative and positive emotional states, respectively. Those who use e-cigs also reported significantly higher scores on all the CEAC subscale scores (General Benefits, F(3, 542) = 102.10, p<.001, Addiction/Cessation, F(3,542) = 67.20, p<.001, and Improve Health, F(3, 542) = 125.03, p<.001). A structural path analysis revealed that sensation seeking is significantly related to positive e-cig attitudes (b=0.63, p<.001) and these attitudes were related to a higher likelihood of being an e-cig user (b=0.63, p<.001), after controlling for all other impulsivity traits and demographics. These findings provide initial support for a theoretical model of how impulsivity and attitudes toward e-cig use influence e-cig use and targeting these factors could be prime points of intervention for e-cig use.